Articles | Volume 16, issue 2
https://doi.org/10.5194/tc-16-625-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-625-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Feb 2022
Research article |
| 18 Feb 2022
| 18 Feb 2022
Sentinel-1 time series for mapping snow cover depletion and timing of snowmelt in Arctic periglacial environments: case study from Zackenberg and Kobbefjord, Greenland
Sebastian Buchelt
CORRESPONDING AUTHOR
Department Physical Geography, Institute of Geography and Geology, University of Würzburg, 97074 Würzburg, Germany
Kirstine Skov
Department of Bioscience, Arctic Research Center, Aarhus University, 4000 Roskilde, Denmark
Kerstin Krøier Rasmussen
Asiaq, Nuuk, Greenland
Tobias Ullmann
Department Physical Geography, Institute of Geography and Geology, University of Würzburg, 97074 Würzburg, Germany
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Short summary
In this paper, we present a threshold and a derivative approach using Sentinel-1 synthetic aperture radar time series to capture the small-scale heterogeneity of snow cover (SC) and snowmelt. Thereby, we can identify start of runoff and end of SC as well as perennial snow and SC extent during melt with high spatiotemporal resolution. Hence, our approach could support monitoring of distribution patterns and hydrological cascading effects of SC from the catchment scale to pan-Arctic observations.
In this paper, we present a threshold and a derivative approach using Sentinel-1 synthetic...
